AI & LLM Security: Defending GenAI Applications

As SaaS startups embed GenAI agents, LLMs, and RAG vector search into their platforms, a new class of cybersecurity threats has emerged: OWASP Top 10 for LLMs.

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Top AI Security Risks

1. Direct & Indirect Prompt Injection

Attackers manipulate system prompts or embed hidden malicious instructions in untrusted documents (e.g., PDF attachments parsed by RAG) to force the LLM to execute unauthorized commands or bypass security filters.

2. Sensitive Information Disclosure (RAG Leakage)

When vector databases (Pinecone, Qdrant, PGVector) lack tenant-level authorization filters, an LLM query from User A can retrieve confidential context data belonging to User B.

3. Excessive Agency

Granting LLM agents autonomous access to write to databases or execute shell commands without human-in-the-loop authorization creates extreme risk.

Learn more on our AI Application Security Service page.